Generating flow fields variations by modulating amplitude and resizing simulation space
Authors: 
Syuhei Sato, Yoshinori Dobashi, Kei Iwasaki, Hiroyuki Ochiai, Tsuyoshi YamamotoAuthors Info & Claims
Syuhei Sato, Yoshinori Dobashi, Kei Iwasaki, Hiroyuki Ochiai, Tsuyoshi YamamotoAuthors Info & ClaimsArticle No.: 13, Pages 1 - 4
Abstract
The visual simulation of fluids has become an important element in many applications, such as movies and computer games. In these applications, large-scale fluid scenes, such as fire in a village, are often simulated by repeatedly rendering multiple small-scale fluid flows. In these cases, animators are requested to generate many variations of a small-scale fluid flow. This paper presents a method to help animators meet such requirements. Our method enables the user to generate flow field variations from a single simulated dataset obtained by fluid simulation. The variations are generated in both the frequency and spatial domains. Fluid velocity fields are represented using Laplacian eigenfunctions which ensure that the flow field is always incompressible. In generating the variations in the frequency domain, we modulate the coefficients (amplitudes) of the basis functions. To generate variations in the spatial domain, our system expands or contracts the simulation space, then the flow is calculated by solving a minimization problem subject to the resized velocity field. Using our method, the user can easily create various animations from a single dataset calculated by fluid simulation.
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References
[1]
Bridson, R., Hourihan, J., and Nordenstam, M. 2007. Curl-noise for procedural fluid flow. ACM Transactions on Graphics 26, 3, Article 46.
[2]
Bridson, R. 2008. Fluid Simulation for Computer Graphics. AK Peters.
[3]
Fedkiw, R., Stam, J., and Jansen, H. W. 2001. Visual simulation of smoke. In Proceedings of ACM SIGGRAPH 2001, 15--22.
[4]
Feldman, B. E., O'Brien, J. F., and Arikan, O. 2003. Animating suspended particle explosions. In Proceedings of ACM SIGGRAPH 2003, 708--715.
[5]
Fuller, A. R., Krishnan, H., Mahrous, K., Hamann, B., and Joy, K. I. 2007. Real-time procedural volumetric fire. In Proceeding of the 2007 symposium on Interactive 3D graphics and games, 175--180.
[6]
Lamorlette, A., and Foster, N. 2002. Structural modeling of flames for a production environment. ACM Transactions on Graphics 21, 3, 729--735.
[7]
Nguyen, D. Q., Fedkiw, R., and Jensen, H. W. 2002. Physically based modeling and animation of fire. ACM Transactions on Graphics 21, 3, 721--728.
[8]
Patel, M., and Taylor, N. 2005. Simple divergence-free fields for artistic simulation. Journal of Graphics, GPU, and Game Tools 10, 4, 49--60.
[9]
Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P. 2007. Numerical Recipes 3rd Edition: The Art of Scientific Computing. Cambridge University Press.
[10]
Stam, J. 1999. Stable fluids. In Proceedings of ACM SIGGRAPH 1999, Annual Conference Series, 121--128.
[11]
Witt, T. D., Lessig, C., and Fiume, E. 2012. Fluid simulation using laplacian eigenfunctions. ACM Transactions on Graphics 31, 1, Article 10.
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November 2013
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Published: 19 November 2013
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